Understanding ozone variability in spatial responses to emissions and meteorology in China using interpretable machine learning.

From 2016 to 2023, 84% of monitoring stations showed significant trend changes in MDA8O3 ( p < 0.05), with 80% exhibiting an increasing trend, although the magnitude varied spatially (see Table S1 ).

also in 63,971 other papers

The northern regions showed an increasing trend of 0–2 μg/m 3 a −1 , while the southern regions showed a decreasing trend of −2 to 0 μg/m 3 a −1 .

also in 47,180 other papers